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Abstract

Adaptive optics systems provide a real-time compensation for
atmospheric turbulence. However, the correction is often only
partial, and a deconvolution is required for reaching the diffraction
limit. The need for a regularized deconvolution is discussed, and
such a deconvolution technique is presented. This technique
incorporates a positivity constraint and some a priori
knowledge of the object (an estimate of its local mean and a model
for its power spectral density). This method is then extended to
the case of an unknown point-spread function, still taking advantage of
similar a priori information on the point-spread
function. Deconvolution results are presented for both simulated
and experimental data.

References

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